Subject to change: quantifying transformation in armed conflict actors at scale using text

Abstract An extensive theoretical and practitioner literature addresses the drivers and consequences of transformation of violent rebel actors during conflicts. However, measurement challenges constrain large- N empirical study of the effects and consequences of such transformations. This Research Note introduces a strategy to identify periods of transformation and change in the operation of non-state armed militant groups via computational text analysis of trends in reporting on activities. It presents the measurement approach and demonstrates scalability to a corpus of more than 200 militant groups operating from 1989 to 2020. The study concludes by extending a recent analysis of the impacts of uncertainty on conflict termination. An online Appendix demonstrates the advantages and drawbacks of the measurement through a series of case studies.

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Publication Details

Journal
Political Science Research and Methods
Published
2024-09-26
DOI
https://doi.org/10.1017/psrm.2024.26
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Subject to change: quantifying transformation in armed conflict actors at scale using text

M. Foster
Political Science Research and Methods
Computational and Text Analysis Methods
article

Subject to change: quantifying transformation in armed conflict actors at scale using text

M. Foster
article en

Abstract

Abstract An extensive theoretical and practitioner literature addresses the drivers and consequences of transformation of violent rebel actors during conflicts. However, measurement challenges constrain large- N empirical study of the effects and consequences of such transformations. This Research Note introduces a strategy to identify periods of transformation and change in the operation of non-state armed militant groups via computational text analysis of trends in reporting on activities. It presents the measurement approach and demonstrates scalability to a corpus of more than 200 militant groups operating from 1989 to 2020. The study concludes by extending a recent analysis of the impacts of uncertainty on conflict termination. An online Appendix demonstrates the advantages and drawbacks of the measurement through a series of case studies.

Political Science Research and MethodsVol. 13(2)
Duke University (US)
University of Cambridge
Openalex Percentile: Top 72%
Computational and Text Analysis Methods
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